{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Sample in Buffer,Sample in Window,TRIGGER,design_1_i/system_ila_0/inst/net_slot_0_axis_tdata[31:0],design_1_i/system_ila_0/inst/net_slot_0_axis_tstrb[3:0],design_1_i/system_ila_0/inst/net_slot_0_axis_tvalid,design_1_i/system_ila_0/inst/net_slot_0_axis_tready,design_1_i/system_ila_0/inst/net_slot_0_axis_tlast,Interface_(i2:s0)_(adc_capture_module_0_M_AXIS)[2:0],T_Channel_(i2:s0)_(adc_capture_module_0_M_AXIS)[2:0]\n",
      "\n",
      "280\n",
      "[44, 62, 81, 92, 94, 89, 74, 58, 44, 36, 36, 45, 65, 81, 88, 97, 85, 73, 58, 41, 38, 37, 50, 66, 79, 91, 94, 83, 70, 60, 43, 38, 37, 52, 70, 86, 93, 93, 82, 67, 51, 42, 35, 38, 53, 71, 86, 98, 93, 82, 65, 49, 39, 30, 39, 53, 72, 87, 96, 92, 85, 67, 51, 37, 32, 38, 51, 70, 88, 96, 93, 82, 66, 49, 41, 34, 37, 53, 72, 87, 94, 94, 79, 65, 52, 40, 34, 41, 56, 72, 84, 94, 89, 79, 66, 49, 38, 36, 40, 59, 74, 91, 93, 88, 76, 61, 48, 39, 35, 44, 60, 77, 92, 96, 88, 75, 58, 45, 36, 33, 44, 62, 79, 92, 97, 90, 76, 58, 97, 90, 76, 58, 97, 90, 76, 58, 97, 90, 76, 58, 44, 35, 32, 44, 62, 81, 93, 96, 91, 75, 59, 44, 35, 32, 44, 61, 80, 94, 95, 89, 75, 59, 45, 36, 35, 45, 62, 80, 92, 93, 87, 74, 57, 45, 36, 37, 48, 65, 82, 91, 92, 85, 71, 55, 43, 37, 37, 50, 68, 85, 92, 93, 82, 68, 53, 42, 35, 38, 52, 69, 86, 98, 94, 84, 67, 52, 38, 33, 38, 52, 71, 88, 95, 94, 84, 68, 51, 39, 32, 36, 52, 72, 86, 95, 94, 84, 67, 52, 40, 33, 37, 52, 71, 87, 95, 93, 82, 66, 51, 41, 35, 40, 54, 71, 87, 93, 91, 80, 65, 50, 40, 35, 41, 54, 73, 90, 95, 90, 78, 61, 48, 38, 36, 43, 59, 77, 90, 96, 59, 77, 90, 96, 59, 77, 90, 96, 59, 77, 90, 96]\n"
     ]
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "\n",
    "f = open(\"e://iladata4.csv\", encoding='utf-8')  # 返回一个文件对象\n",
    "\n",
    "line = f.readline()  # 调用文件的 readline()方法\n",
    "print(line)\n",
    "first = True\n",
    "result = []\n",
    "while line:\n",
    "    if first:\n",
    "        first = False\n",
    "    else:\n",
    "        ds = line.split(',')\n",
    "        if ((ds[5] == '1') and (ds[6] == '1')):\n",
    "            result.append(int(ds[3][0:2],16))\n",
    "            result.append(int(ds[3][2:4],16))\n",
    "            result.append(int(ds[3][4:6],16))\n",
    "            result.append(int(ds[3][6:8],16))\n",
    "    line = f.readline()\n",
    "\n",
    "print(len(result))        \n",
    "print(result)        \n",
    "\n",
    "\n",
    "ypoints = np.array(result)\n",
    "x_label = [1,2,3,4,5,6] #x轴的坐标\n",
    "\n",
    "y_label = [1,2,3,4,5,6] #y轴的值\n",
    "plt.plot(ypoints, linestyle = 'solid')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
